Evidence map›Paper›PMID 29515774›Full record

ArticleOncotarget2018

Unbiased compound-protein interface mapping and prediction of chemoresistance loci through forward genetics in haploid stem cells.

Moritz Horn, Virginia Kroef, Kira Allmeroth, Nicole Schuller, Stephan Miethe, Martin Peifer, Josef M Penninger, Ulrich Elling, Martin S Denzel

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 20 citations in OpenAlex.

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  9. Targeting oncogenic Notch signaling with SERCA inhibitors.Journal of hematology & oncology · 2021
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Moritz HornMax Planck Institute for Biology of Aging, Cologne D-50931, Germany.
Virginia KroefMax Planck Institute for Biology of Aging, Cologne D-50931, Germany.
Kira AllmerothMax Planck Institute for Biology of Aging, Cologne D-50931, Germany.
Nicole SchullerInstitute of Molecular Biotechnology of the Austrian Academy of Science, Vienna Biocenter, Vienna A-1030, Austria.
Stephan MietheMax Planck Institute for Biology of Aging, Cologne D-50931, Germany.
Martin PeiferCenter for Molecular Medicine Cologne, University of Cologne, Cologne D-50931, Germany.
Josef M PenningerInstitute of Molecular Biotechnology of the Austrian Academy of Science, Vienna Biocenter, Vienna A-1030, Austria.
Ulrich EllingInstitute of Molecular Biotechnology of the Austrian Academy of Science, Vienna Biocenter, Vienna A-1030, Austria.
Martin S DenzelMax Planck Institute for Biology of Aging, Cologne D-50931, Germany.
Max Planck Institute for Biology of Ageing · DEUniversity of Cologne · DEVienna Biocenter · ATInstitute of Molecular Biotechnology · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forward genetic screens in haploid mammalian cells have recently emerged as powerful tools for the discovery and investigation of recessive traits. Use of the haploid system provides unique genetic tractability and resolution. Upon positive selection, these screens typically employ analysis of loss-of-function (LOF) alleles and are thus limited to non-essential genes. Many relevant compounds, including anti-cancer therapeutics, however, target essential genes, precluding positive selection of LOF alleles. Here, we asked whether the use of random and saturating chemical mutagenesis might enable screens that identify essential biological targets of toxic compounds. We compare and contrast chemical mutagenesis with insertional mutagenesis. Selecting mutagenized cells with thapsigargin, an inhibitor of the essential Ca

Indexed as

chemoresistance predictionforward genetic screenshaploid stem cellsinteraction site mappingtarget identification

Identifiers

PMID29515774
PMCPMC5839405
OpenAlexW2787394077

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.